Get Started With Personalization Software For Smb E-Commerce

Start recommending shoppers the most relevant products based on their unique user behaviors and intent. Customize to address different shopper priorities. Add and arrange recommendation widgets in pages. Preview and tweak design before going live.

INCREASE AVERAGE ORDER VALUE

Boost conversion rates by leveraging loyalty of your customers to brands they love. Prioritize items that are most likely to convert on search engine optimized landing pages dedicated to select brands with high profit margins to increase average order value.

REDUCE BOUNCE RATES

Increase sales opportunity on attractive but chaotic pages like home and category listing by greeting visitors with products reflecting their individual taste and taste of similar shoppers – based on browsing and buying behavior of shoppers we constantly keep track of.

Make sure you always show content and reduce bounce rates on pages like no search results, 404 and out of stock.

SIMPLIFY SEARCH PROCESS

Simplify the search process by narrowing down the result list with personalized, high-priority content. Create dedicated landing pages containing widgets customized for the targeted search terms, to recommend what your customers are looking for the moment they enter the site.

Highlights - Rule Based Recommendations

INCREASE INTERACTION RATES

Inspire first-time visitors with trending and best selling products that are most likely to convert, motivate site exploration and increase the likelihood of turning them into shoppers on entry points to your site, like home and landing pages.

PROMOTE IMPULSE PURCHASES

INCREASE INTERACTION RATES

Inspire returning visitors with fresh list of newly arrived products, motivate site exploration and increase the likelihood of turning them into shoppers on entry points to your site, like home and landing pages.

HELP COMPLETE THE SALES

Capture shoppers near the end of the sales funnel and help them complete the sale by reminding them of products and categories they have previously shown interest in.

Key Features

Instantly Functional

Recommendations are delivered as soon as the products are indexed. Experience gets more personalized as Perzonalization learns.

Intent Prediction

The kind of pages shoppers visit reveal their intent. Perzonalization takes this into account while generating recommendations. This ensures that your store gets the full benefit of Personalization Software For Smb E-Commerce.

Seamless Design

Recommendations already match the look and feel of your site. Preview and tweak design with a couple of clicks for a final touch.

Customizable

Advanced options give you the power to define your filters and dynamically customize what products will be displayed to your shoppers.

Real-Time

Recommendations are re-calculated at each page visit. This makes sure the most recent shopper history and product inventory data is used for calculations.

Individual Tracking

Performance of each recommendation widget can be tracked individually so you know what works best.

Personalized Product Recommendations By Perzonalization

Prediction in Real-time

Online shopping is dynamic. Every hour, millions of transactions are carried out on online stores. A visitor who had viewed a pair of jeans for her niece three days ago could well be looking for a pack of ice-cream, now. The ever-changing needs of the online shoppers can only be captured and transformed into personalized web recommendations by a real-time platform like we have here at Perzonalization.

Just like a friendly advice

Shopping has always been perceived as a ‘social experience’. We usually go out shopping with our friends or relatives who share their trusted shopping advice with us. On the contrary; online shopping is a lonely experience. We used the notion of ‘friendly advice’ as our inspiration while we’re creating our predictive algorithm. That’s how our solutions suit the needs of your visitors and increase your eCommerce conversion rates with the help of our Personalization Software For Smb E-Commerce.